Moving Real-Time Linked Data Query Evaluation to the Client

Traditional RDF stream processing engines work completely server-side, which contributes to a high server cost. For allowing a large number of concurrent clients to do continuous querying, we extend the low-cost Triple Pattern Fragments (TPF) interface with support for time-sensitive queries. In this poster, we give the overview of a client-side RDF stream processing engine on top of TPF. Our experiments show that our solution significantly lowers the server load while increasing the load on the clients. Preliminary results indicate that our solution moves the complexity of continuously evaluating real-time queries from the server to the client, which makes real-time querying much more scalable for a large amount of concurrent clients when compared to the alternatives.

@inproceedings{taelman_eswc_poster_2016,
  author = {Taelman, Ruben and Verborgh, Ruben and Colpaert, Pieter and Mannens, Erik and Van de Walle, Rik},
  title = {Moving Real-Time {Linked Data} Query Evaluation to the Client},
  booktitle = {Proceedings of the 13th Extended Semantic Web Conference: Posters and Demos},
  year = {2016},
  month = may,
  url = {http://2016.eswc-conferences.org/sites/default/files/papers/Accepted%20Posters%20and%20Demos/ESWC2016_POSTER_Moving_Real-Time_Linked_Data.pdf}
}